{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "460184cb-6164-4268-965b-965d35158ae7",
   "metadata": {},
   "source": [
    "# Digital Twin - Calculate RUL of Engine Simulated Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8be207f2-0c38-41b1-8c02-fe2114cc2fb5",
   "metadata": {},
   "source": [
    "## Load Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0830a13-7069-4fde-bed2-00b22b8479f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_69/3639696060.py:7: FutureWarning: The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\\s+'`` instead\n",
      "  df_train = pd.read_csv('./train_FD001.txt', delim_whitespace=True, names=columns)\n",
      "/tmp/ipykernel_69/3639696060.py:8: FutureWarning: The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\\s+'`` instead\n",
      "  df_test = pd.read_csv('./test_FD001.txt', delim_whitespace=True, names=columns)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "# read the dataset \n",
    "\n",
    "columns = ['unitid', 'time', 'set_1','set_2','set_3'] \n",
    "columns.extend(['sensor_' + str(i) for i in range(1,22)]) \n",
    "df_train = pd.read_csv('./train_FD001.txt', delim_whitespace=True, names=columns) \n",
    "df_test = pd.read_csv('./test_FD001.txt', delim_whitespace=True, names=columns) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a11c537-2e64-4927-aa5e-855ced966afe",
   "metadata": {},
   "source": [
    "## Filter dataset\n",
    "use only unitid = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e02ee865-35cb-4f23-a71c-fa172d575170",
   "metadata": {},
   "outputs": [],
   "source": [
    "unitid = 1\n",
    "df_train = df_train[df_train['unitid']==unitid]\n",
    "df_test = df_test[df_test['unitid']==unitid]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "34d6b76e-20de-42b0-8da6-caa54e4be26e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n",
      "/tmp/ipykernel_69/1225373059.py:9: UserWarning: The palette list has more values (6) than needed (1), which may not be intended.\n",
      "  ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\"))\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns \n",
    "i=0 \n",
    "plt.figure(figsize=(20,10))\n",
    "for column in df_train: \n",
    "    if ('sensor' in column): \n",
    "        i=i+1 \n",
    "        ax= plt.subplot(5,5,i)\n",
    "        ax = sns.lineplot(x=\"time\", y=column, hue='unitid', legend=False, data=df_train, ax=ax, palette=sns.dark_palette(\"#000000\")) \n",
    "        \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cb3d0ca-a7bb-4328-986b-6aaa5f46f58b",
   "metadata": {},
   "source": [
    "# analysis of variance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2730d08b-cd20-4972-b5df-b8f550f03ea4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>set_1</th>\n",
       "      <th>set_2</th>\n",
       "      <th>set_3</th>\n",
       "      <th>sensor_1</th>\n",
       "      <th>sensor_2</th>\n",
       "      <th>sensor_3</th>\n",
       "      <th>sensor_4</th>\n",
       "      <th>sensor_5</th>\n",
       "      <th>sensor_6</th>\n",
       "      <th>sensor_7</th>\n",
       "      <th>sensor_8</th>\n",
       "      <th>sensor_9</th>\n",
       "      <th>sensor_10</th>\n",
       "      <th>sensor_11</th>\n",
       "      <th>sensor_12</th>\n",
       "      <th>sensor_13</th>\n",
       "      <th>sensor_14</th>\n",
       "      <th>sensor_15</th>\n",
       "      <th>sensor_16</th>\n",
       "      <th>sensor_17</th>\n",
       "      <th>sensor_18</th>\n",
       "      <th>sensor_19</th>\n",
       "      <th>sensor_20</th>\n",
       "      <th>sensor_21</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unitid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55.569776</td>\n",
       "      <td>0.001953</td>\n",
       "      <td>0.000282</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.486795</td>\n",
       "      <td>5.759776</td>\n",
       "      <td>8.56561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.910414</td>\n",
       "      <td>0.070914</td>\n",
       "      <td>4.911853</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.268346</td>\n",
       "      <td>0.749176</td>\n",
       "      <td>0.07696</td>\n",
       "      <td>5.563129</td>\n",
       "      <td>0.034125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.475661</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166998</td>\n",
       "      <td>0.105101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             time     set_1     set_2  set_3  sensor_1  sensor_2  sensor_3  \\\n",
       "unitid                                                                       \n",
       "1       55.569776  0.001953  0.000282    0.0       0.0  0.486795  5.759776   \n",
       "\n",
       "        sensor_4  sensor_5  sensor_6  sensor_7  sensor_8  sensor_9  sensor_10  \\\n",
       "unitid                                                                          \n",
       "1        8.56561       0.0       0.0  0.910414  0.070914  4.911853        0.0   \n",
       "\n",
       "        sensor_11  sensor_12  sensor_13  sensor_14  sensor_15  sensor_16  \\\n",
       "unitid                                                                     \n",
       "1        0.268346   0.749176    0.07696   5.563129   0.034125        0.0   \n",
       "\n",
       "        sensor_17  sensor_18  sensor_19  sensor_20  sensor_21  \n",
       "unitid                                                         \n",
       "1        1.475661        0.0        0.0   0.166998   0.105101  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "pd.set_option('display.max_columns', None) \n",
    "pd.set_option('display.max_rows', None) \n",
    "df_std = df_train.groupby('unitid').std() \n",
    "df_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6b8b86ae-e94d-405f-9d84-99036113f201",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['unitid', 'time', 'set_1', 'set_2', 'set_3', 'sensor_1', 'sensor_2',\n",
       "       'sensor_3', 'sensor_4', 'sensor_5', 'sensor_6', 'sensor_7', 'sensor_8',\n",
       "       'sensor_9', 'sensor_10', 'sensor_11', 'sensor_12', 'sensor_13',\n",
       "       'sensor_14', 'sensor_15', 'sensor_16', 'sensor_17', 'sensor_18',\n",
       "       'sensor_19', 'sensor_20', 'sensor_21'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "99691661-34ee-4fd6-95fb-5cc53a15ff9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_columns =['set_1', 'set_2',\n",
    "            'sensor_2',\n",
    "       'sensor_3', 'sensor_4', \n",
    "        'sensor_7', 'sensor_8',\n",
    "       'sensor_9',  'sensor_11', 'sensor_12', 'sensor_13',\n",
    "       'sensor_14', 'sensor_15',  'sensor_17',\n",
    "            'sensor_20', 'sensor_21']\n",
    "\n",
    "df_train=df_train[X_columns]\n",
    "df_test=df_test[X_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f3805b71-4adc-42c3-8b0e-a4c939398af4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "correlation engine 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_69/128266545.py:9: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  pvalues[r][c] = round(pearsonr(df[r], df[c])[1], 4)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            set_1   set_2 sensor_2 sensor_3 sensor_4 sensor_7 sensor_8  \\\n",
      "sensor_11  0.3022  0.6832      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_12  0.1626  0.2476      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_13  0.0723  0.4967      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_14  0.0323   0.499      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_15  0.2468  0.4025      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_17  0.1325  0.9664      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_2   0.1034  0.9675      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_20  0.1565  0.5564      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_21  0.3196  0.8613      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_3    0.376  0.9031      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_4   0.0967  0.8364      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_7   0.1503  0.9329      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_8   0.0283  0.9128      0.0      0.0      0.0      0.0      0.0   \n",
      "sensor_9   0.3857  0.6495      0.0      0.0      0.0      0.0      0.0   \n",
      "set_1         0.0  0.1754   0.1034    0.376   0.0967   0.1503   0.0283   \n",
      "set_2      0.1754     0.0   0.9675   0.9031   0.8364   0.9329   0.9128   \n",
      "\n",
      "          sensor_9 sensor_11 sensor_12 sensor_13 sensor_14 sensor_15  \\\n",
      "sensor_11      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_12      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_13      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_14      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_15      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_17      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_2       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_20      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_21      0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_3       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_4       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_7       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_8       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "sensor_9       0.0       0.0       0.0       0.0       0.0       0.0   \n",
      "set_1       0.3857    0.3022    0.1626    0.0723    0.0323    0.2468   \n",
      "set_2       0.6495    0.6832    0.2476    0.4967     0.499    0.4025   \n",
      "\n",
      "          sensor_17 sensor_20 sensor_21  \n",
      "sensor_11       0.0       0.0       0.0  \n",
      "sensor_12       0.0       0.0       0.0  \n",
      "sensor_13       0.0       0.0       0.0  \n",
      "sensor_14       0.0       0.0       0.0  \n",
      "sensor_15       0.0       0.0       0.0  \n",
      "sensor_17       0.0       0.0       0.0  \n",
      "sensor_2        0.0       0.0       0.0  \n",
      "sensor_20       0.0       0.0       0.0  \n",
      "sensor_21       0.0       0.0       0.0  \n",
      "sensor_3        0.0       0.0       0.0  \n",
      "sensor_4        0.0       0.0       0.0  \n",
      "sensor_7        0.0       0.0       0.0  \n",
      "sensor_8        0.0       0.0       0.0  \n",
      "sensor_9        0.0       0.0       0.0  \n",
      "set_1        0.1325    0.1565    0.3196  \n",
      "set_2        0.9664    0.5564    0.8613  \n"
     ]
    }
   ],
   "source": [
    "from scipy.stats import pearsonr  \n",
    "\n",
    "def calculate_pvalues(df): \n",
    "    df = df.dropna()._get_numeric_data() \n",
    "    dfcols = pd.DataFrame(columns=df.columns)  \n",
    "    pvalues = dfcols.transpose().join(dfcols, how='outer') \n",
    "    for r in df.columns:  \n",
    "        for c in df.columns:  \n",
    "            pvalues[r][c] = round(pearsonr(df[r], df[c])[1], 4)\n",
    "            \n",
    "    return pvalues   \n",
    "    \n",
    "print('correlation engine 1')  \n",
    "print(calculate_pvalues(df_train))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7163fc09-c968-493e-89b0-356c91f951ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# showing correlation  \n",
    "import matplotlib.pyplot as plt   \n",
    "import seaborn as sns\n",
    "few_columns =['set_1', 'sensor_4', \n",
    "        'sensor_7', 'sensor_8']\n",
    "sns.pairplot(df_train, vars=few_columns)  \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "8b4c367c-c695-440a-ba1c-bcc07401f909",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "def create_train_dataset(dataset): \n",
    "    dataX, dataY = [], []\n",
    "    n = len(dataset)\n",
    "    start=int(len(dataset)/10*4)\n",
    "    for i in range(start):\n",
    "        a = dataset[i] \n",
    "        b = (n-start) / n\n",
    "        dataX.append(a)\n",
    "        dataY.append(b)\n",
    "    for i in range(start, n): \n",
    "        a=dataset[i] \n",
    "        b=(n-i) / n \n",
    "        dataX.append(a)\n",
    "        dataY.append(b)\n",
    "\n",
    "    return np.array(dataX).astype('float32'), np.array(dataY).astype('float32')\n",
    "\n",
    "\n",
    "def scale_dataset(ds_train, ds_test): \n",
    "    scaler = MinMaxScaler(feature_range=(0, 1)) \n",
    "    ds_train = scaler.fit_transform(ds_train)\n",
    "    ds_test = scaler.transform(ds_test)\n",
    "    return ds_train, ds_test \n",
    "\n",
    "X_train,y_train =  create_train_dataset(df_train.values)\n",
    "X_test,_ =  create_train_dataset(df_test.values)\n",
    "\n",
    "X_train, X_test = scale_dataset(X_train, X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2cd1da97-f9b3-4bf3-b85d-3f9c50885373",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f0aed090b80>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YXohIUTw0arwzxQDfThocOG1GyuZ9XMBL5GJYXohIcXp08cRbk6KgVkn4KO8M/t/3x0VHIqJ2xPJCRIp0Te+umH/nf77gNfXzfHx3+KzgRETUXlheiEixEmNDcV90D9hkYM66PTh5rlp0JCJqBywvRKRYkiThxfFDMLynD0wX6pG0OhtVdQ2iYxFRG2N5ISJF07qpkT7ZAH8vLQ6XVuHxD/Ngs3EBL5EzY3khIsUL8NbhnSkGaNQqfHGwFG9+XSg6EhG1IZYXInIKw3t2wd/vHgIAeP2rw9j+S6ngRETUVlheiMhp3Bcdgr9cGwYAeGxDHgrLKsUGIqI2wfJCRE7l2TEDcU1vX1TVNSBpdQ5MF+pFRyIiB2N5ISKn4q5WIe2BKHT38cDx8mo8sm4PrFzAS+RUWF6IyOl07azFikQDdO4qfHv4LBZ/USA6EhE5EMsLETmlwcF6LL43AgCQ/u1R/HvvGcGJiMhRWF6IyGndFRGMGTf1AQA8tWkvDpw2CU5ERI7A8kJETu3J+AG4qX831NbbMH1NDs5V1YmORERXieWFiJyaWiXhjfuHI6yrJ05XXMDsD3JRb7WJjkVEV4HlhYicnt7THRmJ0eikUeOnY+fx0qf5oiMR0VVgeSEil9AvwAuvJ0QCAN7beQIfZheLDURErcbyQkQuY9TgQDwW1x8A8NyWA8gt+lVwIiJqDZYXInIpc27ti/jBAbBYbZixJgel5lrRkYjITiwvRORSVCoJS+6LRP+AziirrMOMtTmoa7CKjkVEdmB5ISKX01nrhozEaHjr3LCnqALPf3QAssyvECBSCpYXInJJoV07YfkDUVBJwIfZp7Dmp5OiIxFRC7G8EJHLurF/Nzx9ezgAYOHHv+CnY+cEJyKilmB5ISKXlnRDb4yPDEaDTcas93Nx6tca0ZGI6ApYXojIpUmShEUThmFId2+cr7Zg+pocXLBwAS9RR8byQkQuT+euxjtTotG1kwYHz5jx1L/2cQEvUQfG8kJEBKC7jwfemhQFN5WEj/eewYrvjomORESXwPJCRPRfMb27YsFdgwAAr2w7hG8PnxWciIiaw/JCRPQ/Jl8TivtHhMAmA3M+yMWJ8mrRkYjoD1heiIj+hyRJeGHcYET19IG5tgFJq7NRVdcgOhYR/Q+WFyKiP9C6qZE+2YAAby2OlFXhsQ15sNm4gJeoo2B5ISJqhr+3Du9MiYbGTYXtv5TiH5lHREciov9ieSEiuoTIEB+8fPdQAMA/Mo9g2wGj4EREBLC8EBFd1r2GHph6XRgA4PEP83C4tFJsICJieSEiupJn7hiI2N5dUW2xYtrqbJhq6kVHInJprSovaWlpCAsLg06nQ0xMDHbv3t2i49avXw9JkjB+/PjWPCwRkRDuahXSJkWhRxcPnDhXg4fX5cLKBbxEwthdXjZs2IDk5GQsWLAAubm5iIiIQHx8PMrKyi573IkTJ/DEE0/ghhtuaHVYIiJRfDtpsGJKNDzc1fj+SDle3XZIdCQil2V3eVm6dCmSkpIwdepUDBo0COnp6fD09MTKlSsveYzVasWkSZPwwgsvoHfv3lcVmIhIlEHB3lj852EAgHe+O4ateacFJyJyTXaVF4vFgpycHMTFxf1+ByoV4uLikJWVdcnjFi5cCH9/fzz00EMtepy6ujqYzeYmGxFRR3DnsGDMurkPAOCpTftw4LRJcCIi12NXeSkvL4fVakVAQECT/QEBATAam/8I4Q8//IB3330XGRkZLX6c1NRU6PX6xi0kJMSemEREberxUQNwy4BuqGuwYdrqbJRX1YmORORS2vTTRpWVlZgyZQoyMjLg5+fX4uNSUlJgMpkat+Li4jZMSURkH7VKwrL7h6O3XyecMdVi1vu5qLfaRMcichlu9gz28/ODWq1GaWlpk/2lpaUIDAy8aPzRo0dx4sQJ3HXXXY37bLb//IC7ubmhoKAAffr0ueg4rVYLrVZrTzQional93DHikQDxqftxO7j5/HiJ79g4bghomMRuQS7XnnRaDQwGAzIzMxs3Gez2ZCZmYnY2NiLxoeHh2P//v3Iy8tr3MaOHYtbbrkFeXl5fDuIiBStr78XliVEQpKA1VknseHnItGRiFyCXa+8AEBycjIefPBBREdHY+TIkVi2bBmqq6sxdepUAEBiYiK6d++O1NRU6HQ6DBnS9F8iPj4+AHDRfiIiJYobFIDkuP5Ysv0wnvvoAPr6e8EQ2kV0LCKnZnd5SUhIwNmzZzF//nwYjUZERkZi27ZtjYt4i4qKoFLxwr1E5DoevrUvfikx4/MDRsxYm4OPH74egXqd6FhETkuSZbnDXybSbDZDr9fDZDLB29tbdBwiootU1zVgwts7cchYiYgQH2yYdg107mrRsYiEaqvnb75EQkTkAJ20blgxJRp6D3fsLa7Acx8dgAL+bUikSCwvREQO0rOrJ9IeiIJKAjblnMKqnSdERyJySiwvREQOdH0/Pzxzx0AAwIuf5mPn0XLBiYicD8sLEZGDPXR9L9w9vDusNhmz389F8fka0ZGInArLCxGRg0mShNR7hmJYDz1+ranHtDU5qLE0iI5F5DRYXoiI2oDOXY30yQb4ddYgv8SMpzbt4wJeIgdheSEiaiPBPh54e7IB7moJn+wrwdvfHhUdicgpsLwQEbWhEWG++NvYwQCAxV8U4JuCMsGJiJSP5YWIqI1NignFxJE9IcvAI+v24NjZKtGRiBSN5YWIqB28MHYwokO7oLK2AdPW5KCytl50JCLFYnkhImoHGjcV3pochUBvHQrLqvDYhjzYbFzAS9QaLC9ERO3E30uHFYkGaNxU+Cq/DMu+Oiw6EpEisbwQEbWjYT18sOieoQCAN74uxLYDJYITESkPywsRUTu7J6oHHrq+FwAg+cO9OGQ0C05EpCwsL0REAqTcHo7r+nZFjcWKaatzUFFjER2JSDFYXoiIBHBTq7B8YhRCfD1QdL4Gc9btQYPVJjoWkSKwvBARCdKlkwYrpkTDw12N74+U45Vth0RHIlIElhciIoEGBnljyX0RAICM74/joz2nBSci6vhYXoiIBLtjaBAevqUvAGDev/Zh/ymT4EREHRvLCxFRB5D8p/64LdwfdQ02TFuTjbOVdaIjEXVYLC9ERB2ASiXh9fsj0btbJ5SYajHr/RxYGriAl6g5LC9ERB2Et84dGYnR8NK64ecTv2LhJwdFRyLqkFheiIg6kD7dOuMfEyMhScDan4qwbneR6EhEHQ7LCxFRB3NreACeGDUAADB/6wFknzgvOBFRx8LyQkTUAc26uQ/GDA1CvVXGjLW5KDFdEB2JqMNgeSEi6oAkScLiPw9DeKAXyqvqMGNNDmrrraJjEXUILC9ERB2Up8YNGYnR8PF0x95TJjyzZT9kWRYdi0g4lhciog4sxNcTaQ9EQa2SsDn3NP754wnRkYiEY3khIurgruvrh2fuGAgAeOmzfPxYWC44EZFYLC9ERArw1+vCMCGqB6w2GbM/yEXx+RrRkYiEYXkhIlIASZLw0t1DENFDj4qaeiStzkaNpUF0LCIhWF6IiBRC565G+hQD/DprcchYiSc37uMCXnJJLC9ERAoSpPfAO1Oi4K6W8On+Ery146joSETtjuWFiEhhDKG+WDhuCADgtS8L8PWhUsGJiNoXywsRkQJNHNkTk2J6QpaBuevycPRslehIRO2G5YWISKEW3DUYI8K6oLKuAUmrs2GurRcdiahdsLwQESmUxk2FtyYZEKTX4djZajy2Pg82GxfwkvNjeSEiUrBuXlqsmBINrZsKmYfKsHT7YdGRiNocywsRkcIN7aHHKxOGAQCWf1OIz/aXCE5E1LZYXoiInMD44d2RdEMvAMDjH+5FfolZcCKitsPyQkTkJOaNDscN/fxwod6KaWuy8Wu1RXQkojbB8kJE5CTc1Cq8OXE4evp6ovj8BTy8LhcNVpvoWEQOx/JCROREfDw1yEiMhqdGjR8LzyH180OiIxE5HMsLEZGTGRDohaX3RQAA3v3hOP6Vc0pwIiLHYnkhInJCo4cE4ZFb+wIAUrbsx97iCrGBiByoVeUlLS0NYWFh0Ol0iImJwe7duy85dvPmzYiOjoaPjw86deqEyMhIrFmzptWBiYioZR6N64+4gQGwNNgwfU0OyiprRUcicgi7y8uGDRuQnJyMBQsWIDc3FxEREYiPj0dZWVmz4319ffHss88iKysL+/btw9SpUzF16lR88cUXVx2eiIguTaWS8HpCBPp06wSjuRaz1ubC0sAFvKR8kizLdl1LOiYmBiNGjMDy5csBADabDSEhIZgzZw6efvrpFt1HVFQUxowZgxdffLFF481mM/R6PUwmE7y9ve2JS0Tk8o6drcK4tB9RWduAB2J64uW7h4qORC6irZ6/7XrlxWKxICcnB3Fxcb/fgUqFuLg4ZGVlXfF4WZaRmZmJgoIC3HjjjZccV1dXB7PZ3GQjIqLW6d2tM964fzgkCfhgVxHe33VSdCSiq2JXeSkvL4fVakVAQECT/QEBATAajZc8zmQyoXPnztBoNBgzZgzefPNN/OlPf7rk+NTUVOj1+sYtJCTEnphERPQHt4T748n4AQCABVsP4ucT5wUnImq9dvm0kZeXF/Ly8vDzzz/jpZdeQnJyMnbs2HHJ8SkpKTCZTI1bcXFxe8QkInJqM2/qgzuHBaHBJmPm2hycqbggOhJRq7jZM9jPzw9qtRqlpaVN9peWliIwMPCSx6lUKvTt+5+P7EVGRiI/Px+pqam4+eabmx2v1Wqh1WrtiUZERFcgSRJevXcYjp6tRn6JGdPX5GDjjFjo3NWioxHZxa5XXjQaDQwGAzIzMxv32Ww2ZGZmIjY2tsX3Y7PZUFdXZ89DExGRA3hq3LBiigFdPN2x/7QJKZv3w87PbRAJZ/fbRsnJycjIyMCqVauQn5+PmTNnorq6GlOnTgUAJCYmIiUlpXF8amoqtm/fjmPHjiE/Px9LlizBmjVrMHnyZMfNgoiIWizE1xNpk6KgVknYsuc03v3huOhIRHax620jAEhISMDZs2cxf/58GI1GREZGYtu2bY2LeIuKiqBS/d6JqqurMWvWLJw6dQoeHh4IDw/H2rVrkZCQ4LhZEBGRXa7t44fnxgzECx//gpc/y0d4oDeu7+cnOhZRi9h9nRcReJ0XIiLHk2UZT27ah005p+Dj6Y5/z74ePbt6io5FTqRDXOeFiIichyRJ+Pv4IYgI8UFFTT2SVmejuq5BdCyiK2J5ISJyYTp3NVZMMaCblxYFpZV4YuNeLuClDo/lhYjIxQV465A+2QCNWoXPDxix/OtC0ZGILovlhYiIYAjtgoXjBgMAlmw/jK9+Kb3CEUTisLwQEREA4P6RPTHlmlAAwKMb8lBYViU4EVHzWF6IiKjR/LsGYWQvX1TVNWDa6myYLtSLjkR0EZYXIiJq5K5W4a1JUQjW63CsvBqPrt8Dq40LeKljYXkhIqIm/DprsSIxGjp3Fb4pOIslXxaIjkTUBMsLERFdZEh3PV6ZMAwA8NaOo/hk3xnBiYh+x/JCRETNGhfZHdNv7A0AeHLjPvxyxiw4EdF/sLwQEdElPTU6HDf088OFeiuSVmfjfLVFdCQilhciIro0tUrC8olRCO3qidMVFzD7/Vw0WG2iY5GLY3khIqLL0nu6IyMxGp00amQdO4eXPssXHYlcHMsLERFdUf8ALyxNiAQA/PPHE9iUc0psIHJpLC9ERNQi8YMDMfe2fgCAZ7bsR15xhdhA5LJYXoiIqMXm3tYPowYFwNJgw/Q12Sgz14qORC6I5YWIiFpMpZKwNCES/fw7o9Rchxlrc1DXYBUdi1wMywsREdmls9YNKxKj4a1zQ25RBRZsPQhZ5lcIUPtheSEiIrv18uuENyYOh0oC1v9cjLW7ikRHIhfC8kJERK1y8wB/PDU6HADwwr8PYtexc4ITkatgeSEiolabfmNvjI0IRoNNxqz3c3G64oLoSOQCWF6IiKjVJEnCKxOGYXCwN85VWzB9TTYuWLiAl9oWywsREV0VD40a70wxwLeTBgdOm/H05n1cwEttiuWFiIiuWo8unnhrUhTUKglb884g4/tjoiORE2N5ISIih7imd1fMv3MQAGDR54fw3eGzghORs2J5ISIih0mMDcV90T1gk4E56/bg5Llq0ZHICbG8EBGRw0iShBfHD8Hwnj4wXahH0upsVNU1iI5FToblhYiIHErrpkb6ZAP8vbQ4XFqFxz/Mg83GBbzkOCwvRETkcAHeOrwzxQCNWoUvDpbiza8LRUciJ8LyQkREbWJ4zy74+91DAACvf3UYXx40Ck5EzoLlhYiI2sx90SF4MDYUAPDYhjwcKa0UnIicAcsLERG1qefuHIRrevui2mJF0upsmC7Ui45ECsfyQkREbcpdrULaA1Ho7uOBE+dq8Mi6PbByAS9dBZYXIiJqc107a7Ei0QCduwrfHj6LxV8UiI5ECsbyQkRE7WJwsB6L740AAKR/exT/3ntGcCJSKpYXIiJqN3dFBGPGTX0AAE9t2osDp02CE5ESsbwQEVG7ejJ+AG7q3w219TZMX5ODc1V1oiORwrC8EBFRu1KrJLxx/3CEdfXE6YoLmPV+LuqtNtGxSEFYXoiIqN3pPd2RkRiNTho1dh0/j5c+zRcdiRSE5YWIiIToF+CF1xMiAQDv7TyBD7OLxQYixWB5ISIiYUYNDsRjcf0BAM9tOYDcol8FJyIlYHkhIiKh5tzaF/GDA2Cx2jBjTQ5KzbWiI1EHx/JCRERCqVQSltwXif4BnVFWWYcZa3NQ12AVHYs6MJYXIiISrrPWDSumRMNb54Y9RRV4/qMDkGV+hQA1j+WFiIg6hDC/Tlj+QBRUEvBh9imszjopOhJ1UK0qL2lpaQgLC4NOp0NMTAx27959ybEZGRm44YYb0KVLF3Tp0gVxcXGXHU9ERK7rxv7d8PTt4QCAhZ/8gqyj5wQnoo7I7vKyYcMGJCcnY8GCBcjNzUVERATi4+NRVlbW7PgdO3Zg4sSJ+Oabb5CVlYWQkBCMGjUKp0+fvurwRETkfJJu6I3xkcGw2mTM/iAXp36tER2JOhhJtvNNxZiYGIwYMQLLly8HANhsNoSEhGDOnDl4+umnr3i81WpFly5dsHz5ciQmJrboMc1mM/R6PUwmE7y9ve2JS0REClRbb8W96Ttx4LQZg4O9sWnGtfDQqEXHIju11fO3Xa+8WCwW5OTkIC4u7vc7UKkQFxeHrKysFt1HTU0N6uvr4evre8kxdXV1MJvNTTYiInIdOnc13pkSja6dNDh4xoyn/rWPC3ipkV3lpby8HFarFQEBAU32BwQEwGg0tug+5s2bh+Dg4CYF6I9SU1Oh1+sbt5CQEHtiEhGRE+ju44G3JkXBTSXh471n8M53x0RHog6iXT9ttGjRIqxfvx5btmyBTqe75LiUlBSYTKbGrbiYl4wmInJFMb27YsFdgwAAr2w7hB0Fza+vJNdiV3nx8/ODWq1GaWlpk/2lpaUIDAy87LGvvfYaFi1ahC+//BLDhg277FitVgtvb+8mGxERuabJ14Ti/hEhkGXgkXV7cLy8WnQkEsyu8qLRaGAwGJCZmdm4z2azITMzE7GxsZc87tVXX8WLL76Ibdu2ITo6uvVpiYjI5UiShBfGDUZUTx+YaxswbXU2quoaRMcigex+2yg5ORkZGRlYtWoV8vPzMXPmTFRXV2Pq1KkAgMTERKSkpDSOf+WVV/D8889j5cqVCAsLg9FohNFoRFVVleNmQURETk3rpkb6ZAMCvLU4UlaFxzbkwWbjAl5XZXd5SUhIwGuvvYb58+cjMjISeXl52LZtW+Mi3qKiIpSUlDSOf/vtt2GxWHDvvfciKCiocXvttdccNwsiInJ6/t46vDMlGho3Fbb/Uop/ZB4RHYkEsfs6LyLwOi9ERPSbjdnFeHLTPgBA+mQDRg+5/JpLEqdDXOeFiIhItD9Hh+Av14YBAB7/MA+HSyvFBqJ2x/JCRESK8+yYgYjt3RXVFiuSVmejosYiOhK1I5YXIiJSHHe1CmmTotCjiwdOnqvBnHV7YOUCXpfB8kJERIrk20mDFVOi4eGuxvdHyvHqtkOiI1E7YXkhIiLFGhTsjcV//s+FT9/57hi25p0WnIjaA8sLEREp2p3DgjHr5j4AgKc27cOB0ybBiaitsbwQEZHiPT5qAG4Z0A11DTZMW52N8qo60ZGoDbG8EBGR4qlVEpbdPxy9/TrhjKkWs97PRb3VJjoWtRGWFyIicgp6D3esSDSgs9YNu4+fx8KPfxEdidoIywsRETmNvv5eWJYQCUkC1vx0Eut3F4mORG2A5YWIiJxK3KAAJMf1BwA8v/UAck7+KjgRORrLCxEROZ2Hb+2L24cEot4qY8baHBhNtaIjkQOxvBARkdORJAmv/TkC4YFeOFtZh+lrc1BbbxUdixyE5YWIiJxSJ60bVkyJht7DHXuLK/DcRwcgy/wKAWfA8kJERE6rZ1dPpD0QBZUEbMo5hfd2nhAdiRyA5YWIiJza9f388MwdAwEAf/80HzuPlgtORFeL5YWIiJzeQ9f3wt3Du8NqkzH7/VwUn68RHYmuAssLERE5PUmSkHrPUAzrocevNfWYtiYHNZYG0bGolVheiIjIJejc1UifbIBfZw3yS8x4atM+LuBVKJYXIiJyGcE+Hnh7sgFuKgmf7CvB298eFR2JWoHlhYiIXMqIMF/8bexgAMDiLwrwzaEywYnIXiwvRETkciZfE4qJI3tCloFH1u/BsbNVoiORHVheiIjIJb0wdjCiQ7ugsrYBSauzUVlbLzoStRDLCxERuSSNmwpvTY5CoLcOR89W47ENebDZuIBXCVheiIjIZfl76bAi0QCNmwpf5Zdh2VeHRUeiFmB5ISIilzashw8W3TMUAPDG14XYdqBEcCK6EpYXIiJyefdE9cBD1/cCACR/uBeHjGbBiehyWF6IiIgApNwejuv6dkWNxYppq3NQUWMRHYkugeWFiIgIgJtaheUToxDi64Gi8zV4+IM9aLDaRMeiZrC8EBER/VeXThqsmBIND3c1figsxyvbDomORM1geSEiIvofA4O8seS+CABAxvfH8dGe04IT0R+xvBAREf3BHUOD8PAtfQEA8/61D/tPmQQnov/F8kJERNSM5D/1x23h/qhrsGHammycrawTHYn+i+WFiIioGSqVhNfvj0Tvbp1QYqrFrPdzYGngAt6OgOWFiIjoErx17shIjIaX1g0/n/gVL3x8UHQkAssLERHRZfXp1hn/mBgJSQLe31WED3YViY7k8lheiIiIruDW8AA8MWoAAGDBvw8g+8R5wYlcG8sLERFRC8y6uQ/GDA1CvVXGjLW5KDFdEB3JZbG8EBERtYAkSVj852EID/RCeVUdZqzJQW29VXQsl8TyQkRE1EKeGjdkJEbDx9Mde0+Z8MyW/ZBlWXQsl8PyQkREZIcQX0+kPRAFtUrC5tzTWPnjCdGRXA7LCxERkZ2u6+uHZ+4YCAB4+bN8/FhYLjiRa2F5ISIiaoW/XheGCVE9YLXJmP1BLorP14iO5DJYXoiIiFpBkiS8dPcQRPTQo6KmHkmrs1FjaRAdyyWwvBAREbWSzl2N9CkG+HXW4pCxEk9u3McFvO2gVeUlLS0NYWFh0Ol0iImJwe7duy859uDBg5gwYQLCwsIgSRKWLVvW2qxEREQdTpDeA+mTo+CulvDp/hK8teOo6EhOz+7ysmHDBiQnJ2PBggXIzc1FREQE4uPjUVZW1uz4mpoa9O7dG4sWLUJgYOBVByYiIupoosN88cLYIQCA174swNeHSgUncm52l5elS5ciKSkJU6dOxaBBg5Ceng5PT0+sXLmy2fEjRozA4sWLcf/990Or1V51YCIioo7ogZiemBTTE7IMzF2Xh8KyKtGRnJZd5cVisSAnJwdxcXG/34FKhbi4OGRlZTksVF1dHcxmc5ONiIioo1tw12CMCOuCyroGTFuTDXNtvehITsmu8lJeXg6r1YqAgIAm+wMCAmA0Gh0WKjU1FXq9vnELCQlx2H0TERG1FY2bCm9NMiBIr8Oxs9V4dH0ebDYu4HW0Dvlpo5SUFJhMpsatuLhYdCQiIqIW6ealxYop0dC6qfD1oTIs3X5YdCSnY1d58fPzg1qtRmlp04VIpaWlDl2Mq9Vq4e3t3WQjIiJSiqE99HhlwjAAwPJvCvHZ/hLBiZyLXeVFo9HAYDAgMzOzcZ/NZkNmZiZiY2MdHo6IiEipxg/vjqQbegEAHv9wL/JLuH7TUex+2yg5ORkZGRlYtWoV8vPzMXPmTFRXV2Pq1KkAgMTERKSkpDSOt1gsyMvLQ15eHiwWC06fPo28vDwUFhY6bhZEREQd0LzR4bihnx8u1FsxbU02fq22iI7kFCS5FZcCXL58ORYvXgyj0YjIyEi88cYbiImJAQDcfPPNCAsLw3vvvQcAOHHiBHr16nXRfdx0003YsWNHix7PbDZDr9fDZDLxLSQiIlKUihoLxi7/EUXna3Btn65Y/deRcFN3yCWnDtdWz9+tKi/tjeWFiIiUrMBYibvf+hE1Fiseur4Xnr9zkOhI7aKtnr9do/oREREJNCDQC0vviwAAvPvDcfwr55TgRMrG8kJERNQORg8JwiO39gUApGzZj73FFWIDKRjLCxERUTt5NK4/4gb6w9Jgw/Q1OSirrBUdSZFYXoiIiNqJSiXh9YRI9OnWCUZzLWatzYWlwSY6luKwvBAREbUjL507MhKj4aVzQ/bJX7Hg3wdFR1IclhciIqJ21rtbZ7xx/3BIErBudxHW/nRSdCRFYXkhIiIS4JZwfzwZPwAA8Ld/H8Tu4+cFJ1IOlhciIiJBZt7UB3cOC0KDTcas93NwpuKC6EiKwPJCREQkiCRJePXeYRgY5I3yKgumr8lBbb1VdKwOj+WFiIhIIE+NG1ZMMaCLpzv2nzYhZfN+KODi90KxvBAREQkW4uuJtElRUKskbNlzGu/+cFx0pA6N5YWIiKgDuLaPH54bMxAA8PJn+fj+yFnBiToulhciIqIO4i/XhuFeQw/YZODhD/bg5Llq0ZE6JJYXIiKiDkKSJPx9/BBEhPjAdKEe01bnoLquQXSsDoflhYiIqAPRuauxYooB3by0KCitxBMb93IB7x+wvBAREXUwAd46pE82QKNW4fMDRiz/ulB0pA6F5YWIiKgDMoR2wcJxgwEAS7Yfxle/lApO1HGwvBAREXVQ94/siSnXhAIAHt2Qh8KySsGJOgaWFyIiog5s/l2DMLKXL6rqGpC0OgemC/WiIwnH8kJERNSBuatVeGtSFIL1Ohwvr8bc9Xtgtbn2Al6WFyIiog7Or7MWKxKjoXNXYUfBWSz5skB0JKFYXoiIiBRgSHc9XpkwDADw1o6j+GTfGcGJxGF5ISIiUohxkd0x/cbeAIAnN+7DL2fMghOJwfJCRESkIE+NDscN/fxwod6KpNXZOF9tER2p3bG8EBERKYhaJWH5xCiEdvXE6YoLmP1+LuqtNtGx2hXLCxERkcLoPd2RkRiNTho1so6dw0uf5ouO1K5YXoiIiBSof4AXliZEAgDe23kCG7OLxQZqRywvREREChU/OBBzb+sHAHj2owPIK64QG6idsLwQEREp2Nzb+mHUoABYGmyYviYbZeZa0ZHaHMsLERGRgqlUEpYmRKKff2eUmuswY20O6hqsomO1KZYXIiIiheusdcOKxGh469yQW1SBBVsPQpad9ysEWF6IiIicQC+/Tnhj4nCoJGD9z8VY+9NJ0ZHaDMsLERGRk7h5gD+eGh0OAHjh41+w69g5wYnaBssLERGRE5l+Y2+MjQhGg03GrPdzcbriguhIDsfyQkRE5EQkScIrE4ZhcLA3zlVbMH1NNi5YnGsBL8sLERGRk/HQqPHOFAN8O2lw4LQZT2/e51QLeFleiIiInFCPLp5IeyAKapWErXlnkPH9MdGRHIblhYiIyEnF9umK+XcOAgAs+vwQvj18VnAix2B5ISIicmKJsaG4L7oHbDIw54NcnCivFh3pqrG8EBEROTFJkvDi+CEY3tMH5toGTFuTjaq6BtGxrgrLCxERkZPTuqmRPtkAfy8tDpdW4fEP82CzKXcBL8sLERGRCwjw1uGdKQZo1Cp8cbAUb35dKDpSq7G8EBERuYjhPbvg73cPAQC8/tVhfHnQKDhR67C8EBERuZD7okPwYGwoAOCxDXk4UlopOJH9WF6IiIhczHN3DsI1vX1RbbEiaXU2TDX1oiPZpVXlJS0tDWFhYdDpdIiJicHu3bsvO37jxo0IDw+HTqfD0KFD8dlnn7UqLBEREV09d7UKaQ9EobuPB06cq8Ej6/fAqqAFvHaXlw0bNiA5ORkLFixAbm4uIiIiEB8fj7KysmbH79y5ExMnTsRDDz2EPXv2YPz48Rg/fjwOHDhw1eGJiIiodbp21mJFogE6dxW+PXwWG34uFh2pxSTZzi87iImJwYgRI7B8+XIAgM1mQ0hICObMmYOnn376ovEJCQmorq7GJ5980rjvmmuuQWRkJNLT01v0mGazGXq9HiaTCd7e3vbEJSIiosv4eO8Z5BVXIOX2cLipHbuapK2ev+1KabFYkJOTg7i4uN/vQKVCXFwcsrKymj0mKyuryXgAiI+Pv+R4AKirq4PZbG6yERERkePdFRGM5+8c5PDi0pbsSlpeXg6r1YqAgIAm+wMCAmA0Nv9xK6PRaNd4AEhNTYVer2/cQkJC7IlJRERETqxD1qyUlBSYTKbGrbhYOe/DERERUdtys2ewn58f1Go1SktLm+wvLS1FYGBgs8cEBgbaNR4AtFottFqtPdGIiIjIRdj1yotGo4HBYEBmZmbjPpvNhszMTMTGxjZ7TGxsbJPxALB9+/ZLjiciIiK6HLteeQGA5ORkPPjgg4iOjsbIkSOxbNkyVFdXY+rUqQCAxMREdO/eHampqQCAuXPn4qabbsKSJUswZswYrF+/HtnZ2VixYoVjZ0JEREQuwe7ykpCQgLNnz2L+/PkwGo2IjIzEtm3bGhflFhUVQaX6/QWda6+9Fh988AGee+45PPPMM+jXrx8++ugjDBkyxHGzICIiIpdh93VeROB1XoiIiJSnQ1znhYiIiEg0lhciIiJSFJYXIiIiUhSWFyIiIlIUlhciIiJSFJYXIiIiUhS7r/Miwm+f5ua3SxMRESnHb8/bjr4qiyLKS2VlJQDw26WJiIgUqLKyEnq93mH3p4iL1NlsNpw5cwZeXl6QJMlh92s2mxESEoLi4mKnv/gd5+qcOFfnxLk6J1eca1FRESRJQnBwcJOr718tRbzyolKp0KNHjza7f29vb6f/i/QbztU5ca7OiXN1Tq40V71e3yZz5YJdIiIiUhSWFyIiIlIUly4vWq0WCxYsgFarFR2lzXGuzolzdU6cq3PiXB1HEQt2iYiIiH7j0q+8EBERkfKwvBAREZGisLwQERGRorC8EBERkaK4dHlJS0tDWFgYdDodYmJisHv3btGRrlpqaipGjBgBLy8v+Pv7Y/z48SgoKGgy5uabb4YkSU22GTNmCErcen/7298umkd4eHjj7bW1tZg9eza6du2Kzp07Y8KECSgtLRWYuPXCwsIumqskSZg9ezYAZZ/T7777DnfddReCg4MhSRI++uijJrfLsoz58+cjKCgIHh4eiIuLw5EjR5qMOX/+PCZNmgRvb2/4+PjgoYceQlVVVTvOomUuN9f6+nrMmzcPQ4cORadOnRAcHIzExEScOXOmyX0093dh0aJF7TyTK7vSef3LX/5y0TxGjx7dZIwznFcAzf7sSpKExYsXN45RwnltyfNLS37vFhUVYcyYMfD09IS/vz+efPJJNDQ02JXFZcvLhg0bkJycjAULFiA3NxcRERGIj49HWVmZ6GhX5dtvv8Xs2bPx008/Yfv27aivr8eoUaNQXV3dZFxSUhJKSkoat1dffVVQ4qszePDgJvP44YcfGm977LHH8PHHH2Pjxo349ttvcebMGdxzzz0C07bezz//3GSe27dvBwD8+c9/bhyj1HNaXV2NiIgIpKWlNXv7q6++ijfeeAPp6enYtWsXOnXqhPj4eNTW1jaOmTRpEg4ePIjt27fjk08+wXfffYdp06a11xRa7HJzrampQW5uLp5//nnk5uZi8+bNKCgowNixYy8au3Dhwibnes6cOe0R3y5XOq8AMHr06CbzWLduXZPbneG8Amgyx5KSEqxcuRKSJGHChAlNxnX089qS55cr/d61Wq0YM2YMLBYLdu7ciVWrVuG9997D/Pnz7Qsju6iRI0fKs2fPbvyz1WqVg4OD5dTUVIGpHK+srEwGIH/77beN+2666SZ57ty54kI5yIIFC+SIiIhmb6uoqJDd3d3ljRs3Nu7Lz8+XAchZWVntlLDtzJ07V+7Tp49ss9lkWXaecwpA3rJlS+OfbTabHBgYKC9evLhxX0VFhazVauV169bJsizLv/zyiwxA/vnnnxvHfP7557IkSfLp06fbLbu9/jjX5uzevVsGIJ88ebJxX2hoqPz666+3bTgHa26uDz74oDxu3LhLHuPM53XcuHHyrbfe2mSfEs/rH59fWvJ797PPPpNVKpVsNBobx7z99tuyt7e3XFdX1+LHdslXXiwWC3JychAXF9e4T6VSIS4uDllZWQKTOZ7JZAIA+Pr6Ntn//vvvw8/PD0OGDEFKSgpqampExLtqR44cQXBwMHr37o1JkyahqKgIAJCTk4P6+vom5zg8PBw9e/ZU/Dm2WCxYu3Yt/vrXvzb5olJnOaf/6/jx4zAajU3Oo16vR0xMTON5zMrKgo+PD6KjoxvHxMXFQaVSYdeuXe2e2ZFMJhMkSYKPj0+T/YsWLULXrl0xfPhwLF682O6X3DuKHTt2wN/fHwMGDMDMmTNx7ty5xtuc9byWlpbi008/xUMPPXTRbUo7r398fmnJ792srCwMHToUAQEBjWPi4+NhNptx8ODBFj+2Ir6Y0dHKy8thtVqb/M8DgICAABw6dEhQKsez2Wx49NFHcd1112HIkCGN+x944AGEhoYiODgY+/btw7x581BQUIDNmzcLTGu/mJgYvPfeexgwYABKSkrwwgsv4IYbbsCBAwdgNBqh0Wgu+qUfEBAAo9EoJrCDfPTRR6ioqMBf/vKXxn3Ock7/6Ldz1dzP6m+3GY1G+Pv7N7ndzc0Nvr6+ij7XtbW1mDdvHiZOnNjki+0eeeQRREVFwdfXFzt37kRKSgpKSkqwdOlSgWntN3r0aNxzzz3o1asXjh49imeeeQa33347srKyoFarnfa8rlq1Cl5eXhe9ha2089rc80tLfu8ajcZmf55/u62lXLK8uIrZs2fjwIEDTdaBAGjynvHQoUMRFBSE2267DUePHkWfPn3aO2ar3X777Y3/PWzYMMTExCA0NBQffvghPDw8BCZrW++++y5uv/12BAcHN+5zlnNK/1FfX4/77rsPsizj7bffbnJbcnJy438PGzYMGo0G06dPR2pqqqIuO3///fc3/vfQoUMxbNgw9OnTBzt27MBtt90mMFnbWrlyJSZNmgSdTtdkv9LO66WeX9qLS75t5OfnB7VafdEK6NLSUgQGBgpK5VgPP/wwPvnkE3zzzTfo0aPHZcfGxMQAAAoLC9sjWpvx8fFB//79UVhYiMDAQFgsFlRUVDQZo/RzfPLkSXz11Vf4v//7v8uOc5Zz+tu5utzPamBg4EUL7RsaGnD+/HlFnuvfisvJkyexffv2Jq+6NCcmJgYNDQ04ceJE+wRsI71794afn1/j31lnO68A8P3336OgoOCKP79Axz6vl3p+acnv3cDAwGZ/nn+7raVcsrxoNBoYDAZkZmY27rPZbMjMzERsbKzAZFdPlmU8/PDD2LJlC77++mv06tXrisfk5eUBAIKCgto4XduqqqrC0aNHERQUBIPBAHd39ybnuKCgAEVFRYo+x//85z/h7++PMWPGXHacs5zTXr16ITAwsMl5NJvN2LVrV+N5jI2NRUVFBXJychrHfP3117DZbI0lTil+Ky5HjhzBV199ha5du17xmLy8PKhUqoveYlGaU6dO4dy5c41/Z53pvP7m3XffhcFgQERExBXHdsTzeqXnl5b83o2NjcX+/fubFNPfSvqgQYPsCuOS1q9fL2u1Wvm9996Tf/nlF3natGmyj49PkxXQSjRz5kxZr9fLO3bskEtKShq3mpoaWZZlubCwUF64cKGcnZ0tHz9+XN66davcu3dv+cYbbxSc3H6PP/64vGPHDvn48ePyjz/+KMfFxcl+fn5yWVmZLMuyPGPGDLlnz57y119/LWdnZ8uxsbFybGys4NStZ7Va5Z49e8rz5s1rsl/p57SyslLes2ePvGfPHhmAvHTpUnnPnj2Nn7BZtGiR7OPjI2/dulXet2+fPG7cOLlXr17yhQsXGu9j9OjR8vDhw+Vdu3bJP/zwg9yvXz954sSJoqZ0SZebq8VikceOHSv36NFDzsvLa/Lz+9unMHbu3Cm//vrrcl5ennz06FF57dq1crdu3eTExETBM7vY5eZaWVkpP/HEE3JWVpZ8/Phx+auvvpKjoqLkfv36ybW1tY334Qzn9Tcmk0n29PSU33777YuOV8p5vdLziyxf+fduQ0ODPGTIEHnUqFFyXl6evG3bNrlbt25ySkqKXVlctrzIsiy/+eabcs+ePWWNRiOPHDlS/umnn0RHumoAmt3++c9/yrIsy0VFRfKNN94o+/r6ylqtVu7bt6/85JNPyiaTSWzwVkhISJCDgoJkjUYjd+/eXU5ISJALCwsbb79w4YI8a9YsuUuXLrKnp6d89913yyUlJQITX50vvvhCBiAXFBQ02a/0c/rNN980+3f2wQcflGX5Px+Xfv755+WAgABZq9XKt91220X/D86dOydPnDhR7ty5s+zt7S1PnTpVrqysFDCby7vcXI8fP37Jn99vvvlGlmVZzsnJkWNiYmS9Xi/rdDp54MCB8ssvv9zkCb+juNxca2pq5FGjRsndunWT3d3d5dDQUDkpKemifzw6w3n9zTvvvCN7eHjIFRUVFx2vlPN6pecXWW7Z790TJ07It99+u+zh4SH7+fnJjz/+uFxfX29XFum/gYiIiIgUwSXXvBAREZFysbwQERGRorC8EBERkaKwvBAREZGisLwQERGRorC8EBERkaKwvBAREZGisLwQERGRorC8EBERkaKwvBAREZGisLwQERGRorC8EBERkaL8f//Fu/7zuZEoAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3aceca52-790b-47e2-bc60-cb4ce9b9e398",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GaussianProcessRegressor(kernel=1**2 * RBF(length_scale=1), normalize_y=True)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;GaussianProcessRegressor<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html\">?<span>Documentation for GaussianProcessRegressor</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GaussianProcessRegressor(kernel=1**2 * RBF(length_scale=1), normalize_y=True)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "GaussianProcessRegressor(kernel=1**2 * RBF(length_scale=1), normalize_y=True)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sklearn\n",
    "from sklearn.gaussian_process.kernels import RBF, WhiteKernel\n",
    "from sklearn.utils import shuffle\n",
    "\n",
    "X_train_shuffled, y_train_shuffled = shuffle(X_train, y_train)\n",
    "\n",
    "kernel = 1 * RBF(length_scale=1.0)\n",
    "baseline_model = sklearn.gaussian_process.GaussianProcessRegressor(kernel=kernel, normalize_y=True)\n",
    "baseline_model.fit(X_train_shuffled, y_train_shuffled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d92fe459-f91c-4624-a69f-cc09ce303f0a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9999975504940117 0.9999975504940117\n"
     ]
    }
   ],
   "source": [
    "y_pred = baseline_model.predict(X_train) \n",
    "y_pred = np.array(y_pred * len(X_train))\n",
    "print( y_pred[-1], np.min(y_pred) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "243a3f1d-52c2-4ca8-b5e6-9096fce99036",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "117.73255043419495\n"
     ]
    }
   ],
   "source": [
    "y_pred = baseline_model.predict(X_test)\n",
    "y_pred = np.array(y_pred * len(X_train))\n",
    "print( y_pred[-1] ) #attended 112"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "af435723-783c-444a-877a-4614394ef16e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fit the model \n",
    "import torch.nn as nn\n",
    "\n",
    "class JetDigitalTiwnModel(nn.Module):\n",
    "    def __init__(self, input_size, hidden_size=16):\n",
    "        super().__init__()\n",
    "        self.hidden1 = nn.Linear(input_size, hidden_size)\n",
    "        self.act1 = nn.ReLU()\n",
    "        self.hidden2 = nn.Linear(hidden_size, hidden_size*2)\n",
    "        self.act2= nn.ReLU()\n",
    "        self.out = nn.Linear(hidden_size*2, 1)\n",
    "        self.act = nn.ReLU()\n",
    "    \n",
    "    def forward(self, x):\n",
    "        x = self.act1( self.hidden1 (x) )\n",
    "        x = self.act2( self.hidden2 (x) )\n",
    "        x = self.act( self.out(x) )\n",
    "        return x\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "06711051-3e37-4fe6-a9e9-c5cc2eba1123",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch.utils.data import Dataset\n",
    "\n",
    "import torch\n",
    "torch.manual_seed(0)\n",
    "import random\n",
    "random.seed(0)\n",
    "import numpy as np\n",
    "np.random.seed(0)\n",
    "\n",
    "class MyDataset(Dataset):\n",
    "    def __init__(self, x, y):\n",
    "        super(MyDataset, self).__init__()\n",
    "        assert x.shape[0] == y.shape[0] # assuming shape[0] = dataset size\n",
    "        self.x = x\n",
    "        self.y = y\n",
    "\n",
    "    def __len__(self):\n",
    "        return self.y.shape[0]\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        return self.x[index], self.y[index]\n",
    "\n",
    "def train_model(model, X_train, y_train, num_epochs = 1000, learning_rate = 1e-4, batch_size=16):\n",
    "    \n",
    "    X_train = torch.tensor(X_train, dtype=torch.float32)\n",
    "    y_train = torch.tensor(y_train, dtype=torch.float32).reshape(-1,1)\n",
    "    \n",
    "    criterion = torch.nn.MSELoss()    # mean-squared error for regression\n",
    "    optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)\n",
    "    loader = torch.utils.data.DataLoader(MyDataset(X_train, y_train), batch_size=batch_size, shuffle=True)\n",
    "\n",
    "    history = {'loss':[]}\n",
    "    \n",
    "    # Train the model\n",
    "    for epoch in range(num_epochs):\n",
    "        for batch_idx, (_X, _y) in enumerate(loader):\n",
    "\n",
    "            model.train()\n",
    "            outputs = model(_X)\n",
    "            optimizer.zero_grad()\n",
    "            \n",
    "            # obtain the loss function\n",
    "            loss = criterion(outputs, _y)\n",
    "            \n",
    "            loss.backward()\n",
    "            \n",
    "            optimizer.step()\n",
    "            \n",
    "        if epoch % 100 == 0:\n",
    "            print(\"Epoch: %d, loss: %1.5f\" % (epoch, loss.item()), \"LR:\", optimizer.param_groups[0]['lr'])\n",
    "        history['loss'].append(loss.item())\n",
    "\n",
    "    return model, history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b255a5c1-d729-40a3-bcce-daec35732708",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "JetDigitalTiwnModel(\n",
      "  (hidden1): Linear(in_features=16, out_features=16, bias=True)\n",
      "  (act1): ReLU()\n",
      "  (hidden2): Linear(in_features=16, out_features=32, bias=True)\n",
      "  (act2): ReLU()\n",
      "  (out): Linear(in_features=32, out_features=1, bias=True)\n",
      "  (act): ReLU()\n",
      ")\n"
     ]
    }
   ],
   "source": [
    "model = JetDigitalTiwnModel(input_size=X_train.shape[1])\n",
    "print(model)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3ac1ac1f-be01-46c6-8235-d944fc324ccf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch: 0, loss: 0.22300 LR: 0.0001\n",
      "Epoch: 100, loss: 0.00327 LR: 0.0001\n",
      "Epoch: 200, loss: 0.00411 LR: 0.0001\n",
      "Epoch: 300, loss: 0.00106 LR: 0.0001\n",
      "Epoch: 400, loss: 0.00100 LR: 0.0001\n",
      "Epoch: 500, loss: 0.00126 LR: 0.0001\n",
      "Epoch: 600, loss: 0.00169 LR: 0.0001\n",
      "Epoch: 700, loss: 0.00055 LR: 0.0001\n",
      "Epoch: 800, loss: 0.00090 LR: 0.0001\n",
      "Epoch: 900, loss: 0.00148 LR: 0.0001\n"
     ]
    }
   ],
   "source": [
    "model, history = train_model(model, X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ccbee3ee-4cc9-4f88-8028-53d5e077dfb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f0a18125720>]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.plot(history['loss'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3060d8a4-628a-4919-b2b9-67be9c98f00b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def test_model(X, y_test):\n",
    "    # evaluate model:\n",
    "    model.eval()\n",
    "\n",
    "    n = len(X_train)\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        out_data = model(torch.tensor(X, dtype=torch.float32))\n",
    "    rul = (out_data*n).numpy().flat[-1]\n",
    "    print('Rul:',rul,'Error:', abs(rul-y_test)/y_test)\n",
    "\n",
    "\n",
    "    plt.plot((out_data*n).numpy()) #112\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b3ff2245-6e49-41ec-b50b-35f3bbda34c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rul: 0.39132643 Error: 0.6086735725402832\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_model(X_train, y_test=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ba2d2f1e-c37f-4835-87ff-c22533659feb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rul: 113.166756 Error: 0.010417461395263672\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_model(X_test, y_test=112)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e94cca9-14ca-49d0-8e99-4235c2ccc2ed",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c8eb7a0-5d6b-4fa8-a0e3-0ad57ff3c957",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
